mlfoundations-dev/instruction_filtering_scale_up_math_base_embedding_filter_mean_4K

这是一个包含多个特征字段的机器学习数据集，特征包括指导种子、来源、嵌入表示、正负评分、分数差、推理过程、解决方案、原始行索引、推理轨迹和对话信息。数据集分为训练集，共有4000个示例，数据集大小约为316MB。

This is a machine learning dataset with multiple feature fields, including instruction seed, source, embedding representation, positive and negative scores, score difference, reasoning process, solution, original row index, reasoning trace, and conversation information. The dataset is split into a training set with a total of 4,000 examples, and the dataset size is approximately 316MB.